The continued growth of interactive businesses combined with the explosive diffusion of online, mobile, and IoT (Internet of Things) touch points has enabled organizations to develop business applications involving millions, if not orders of magnitude more interactions and transactions. The success of the business, though, depends on driving the customers and users toward profitable transactions. Examples include purchasing products viewed on an eCommerce web site, recommending an article to a friend, or triggering automated controls within an industrial environment to avoid a part failure. These are examples of scenarios that are informed through behavioral analytics.
In this webinar we describe different aspects of behavioral analytics, and then discuss how aspects of behavioral analytics are suited to a number of different business use cases. We then explore the characteristics necessary to a data warehouse environment to enable support for advanced behavioral analytics. Finally, we consider the factors that would influence a buy vs. build decision, and corresponding options for rapidly deploying an advanced behavioral analytics system.
Attendees will learn about:
Individual, Student, & Team memberships available.